From 47ce88f25500a7ba74ebc58ff2af5de0e3334740 Mon Sep 17 00:00:00 2001 From: Ben Letham Date: Wed, 3 Mar 2021 16:10:44 -0800 Subject: [PATCH] Add stepwise trend as example of custom trend to documentation --- notebooks/additional_topics.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/notebooks/additional_topics.ipynb b/notebooks/additional_topics.ipynb index 392a3cf..e00787e 100644 --- a/notebooks/additional_topics.ipynb +++ b/notebooks/additional_topics.ipynb @@ -157,7 +157,7 @@ "source": [ "Note that if this is used on a time series that doesn't have a constant trend, any trend will be fit with the noise term and so there will be high predictive uncertainty in the forecast.\n", "\n", - "To use a trend besides these three built-in trend functions (piecewise linear, piecewise logistic growth, and flat), you can download the source code from github, modify the trend function as desired in a local branch, and then install that local version. This PR provides a good illustration of what must be done to implement a custom trend: https://github.com/facebook/prophet/pull/1466/files." + "To use a trend besides these three built-in trend functions (piecewise linear, piecewise logistic growth, and flat), you can download the source code from github, modify the trend function as desired in a local branch, and then install that local version. This PR provides a good illustration of what must be done to implement a custom trend (https://github.com/facebook/prophet/pull/1466/files), as does this one that implements a step function trend (https://github.com/facebook/prophet/pull/1794) and this one for a new trend in R (https://github.com/facebook/prophet/pull/1778)." ] }, { @@ -242,9 +242,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.8" + "version": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 2 -} \ No newline at end of file +}